Triple
T3097306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caterina |
E64628
|
entity |
| Predicate | equivalentForm |
P6530
|
FINISHED |
| Object |
Catalina
Catalina is a feminine given name used in various Romance-language cultures, often considered a form of Catherine.
|
E328177
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Catalina | Statement: [Caterina, equivalentForm, Catalina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Catalina Context triple: [Caterina, equivalentForm, Catalina]
-
A.
Mariana
Mariana is a neighborhood (barrio) within the city of Dorado, Puerto Rico.
-
B.
Mariana
"Mariana" is a famous 1851 Pre-Raphaelite painting by John Everett Millais depicting a solitary woman in a richly detailed interior, inspired by Shakespeare’s "Measure for Measure" and Tennyson’s poem of the same name.
-
C.
Consuela
Consuela is a recurring character on the animated TV series "Family Guy," known as a stubborn, heavily accented Latina maid who often says "No, no, no."
-
D.
Santa María del Oro
Santa María del Oro is a municipality and town in the Mexican state of Nayarit, known for its scenic volcanic crater lake and surrounding natural landscapes.
-
E.
Dorado
Dorado is a coastal municipality in northern Puerto Rico known for its upscale resorts, golf courses, and residential communities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Catalina Triple: [Caterina, equivalentForm, Catalina]
Generated description
Catalina is a feminine given name used in various Romance-language cultures, often considered a form of Catherine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Catalina Target entity description: Catalina is a feminine given name used in various Romance-language cultures, often considered a form of Catherine.
-
A.
Mariana
Mariana is a neighborhood (barrio) within the city of Dorado, Puerto Rico.
-
B.
Mariana
"Mariana" is a famous 1851 Pre-Raphaelite painting by John Everett Millais depicting a solitary woman in a richly detailed interior, inspired by Shakespeare’s "Measure for Measure" and Tennyson’s poem of the same name.
-
C.
Consuela
Consuela is a recurring character on the animated TV series "Family Guy," known as a stubborn, heavily accented Latina maid who often says "No, no, no."
-
D.
Santa María del Oro
Santa María del Oro is a municipality and town in the Mexican state of Nayarit, known for its scenic volcanic crater lake and surrounding natural landscapes.
-
E.
Dorado
Dorado is a coastal municipality in northern Puerto Rico known for its upscale resorts, golf courses, and residential communities.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad857dc98481909e585dc3372e3ed5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada23cbe3c8190b7ec5cfd464a1ca8 |
completed | March 8, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20378a1488190bd0fa7d3f4639220 |
completed | March 12, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_69b2051868048190b197646d452df8e9 |
completed | March 12, 2026, 12:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2094564e881909274bb34be922166 |
completed | March 12, 2026, 12:31 a.m. |
Created at: March 8, 2026, 3:03 p.m.